Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances
出版年份 2013 全文链接
标题
Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances
作者
关键词
Landslide susceptibility mapping, Binary logistic regression, AHP, Statistical index, North of Tehran, Iran
出版物
NATURAL HAZARDS
Volume 69, Issue 1, Pages 749-779
出版商
Springer Nature
发表日期
2013-05-25
DOI
10.1007/s11069-013-0728-5
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Application of an advanced fuzzy logic model for landslide susceptibility analysis
- (2013) Biswajeet Pradhan International Journal of Computational Intelligence Systems
- Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran
- (2013) HAMID REZA POURGHASEMI et al. Journal of Earth System Science
- Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
- (2012) Hamid Reza Pourghasemi et al. CATENA
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- The 2010 Yushu earthquake triggered landslide hazard mapping using GIS and weight of evidence modeling
- (2012) Chong Xu et al. Environmental Earth Sciences
- GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
- (2012) Chong Xu et al. GEOMORPHOLOGY
- Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models
- (2012) Majid Mohammady et al. JOURNAL OF ASIAN EARTH SCIENCES
- A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey
- (2012) Adnan Ozdemir et al. JOURNAL OF ASIAN EARTH SCIENCES
- Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region
- (2012) Chong Xu et al. Journal of Earth Science
- Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy
- (2012) Cristiano Ballabio et al. Mathematical Geosciences
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
- (2012) Dieu Tien Bui et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey)
- (2012) Gökçe Deniz Hasekioğulları et al. NATURAL HAZARDS
- Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
- (2012) Krishna Chandra Devkota et al. NATURAL HAZARDS
- Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
- (2012) Hamid Reza Pourghasemi et al. NATURAL HAZARDS
- A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey
- (2011) A. Yalcin et al. CATENA
- Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
- (2011) Hyun-Joo Oh et al. COMPUTERS & GEOSCIENCES
- An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm
- (2011) A. Akgun et al. COMPUTERS & GEOSCIENCES
- Susceptibility assessment of earthquake-induced landslides using Bayesian network: A case study in Beichuan, China
- (2011) Yiquan Song et al. COMPUTERS & GEOSCIENCES
- Landslide susceptibility assessment using SVM machine learning algorithm
- (2011) Miloš Marjanović et al. ENGINEERING GEOLOGY
- Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey)
- (2011) M. Ercanoglu et al. Environmental Earth Sciences
- Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?
- (2011) A. Erener et al. Environmental Earth Sciences
- Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)
- (2011) Adnan Ozdemir JOURNAL OF HYDROLOGY
- Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression
- (2011) Dieu Tien Bui et al. NATURAL HAZARDS
- A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping
- (2010) Mohammad H. Vahidnia et al. COMPUTERS & GEOSCIENCES
- Comparison and Validation of Landslide Susceptibility Maps Using an Artificial Neural Network Model for Three Test Areas in Malaysia
- (2010) B. PRADHAN et al. ENVIRONMENTAL & ENGINEERING GEOSCIENCE
- Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling
- (2010) Biswajeet Pradhan ENVIRONMENTAL AND ECOLOGICAL STATISTICS
- Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia
- (2010) Biswajeet Pradhan Environmental Earth Sciences
- Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system
- (2010) Hyun-Joo Oh et al. Environmental Earth Sciences
- Landslide susceptibility assessment using the bivariate statistical analysis and the index of entropy in the Sibiciu Basin (Romania)
- (2010) Mihaela Constantin et al. Environmental Earth Sciences
- Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
- (2010) Ebru Akcapinar Sezer et al. EXPERT SYSTEMS WITH APPLICATIONS
- Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches
- (2010) B. Pradhan Journal of the Indian Society of Remote Sensing
- Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway)
- (2010) Arzu Erener et al. Landslides
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- (2010) H. A. Nefeslioglu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models
- (2009) Biswajeet Pradhan et al. Arabian Journal of Geosciences
- A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses
- (2009) A. Nandi et al. ENGINEERING GEOLOGY
- Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis
- (2009) Aykut Akgun et al. Environmental Earth Sciences
- Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
- (2009) Işık Yilmaz Environmental Earth Sciences
- Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
- (2009) Biswajeet Pradhan et al. Environmental Earth Sciences
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
- (2009) Biswajeet Pradhan et al. ENVIRONMENTAL MODELLING & SOFTWARE
- GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China
- (2009) Shi-Biao Bai et al. GEOMORPHOLOGY
- Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy
- (2009) F. Falaschi et al. NATURAL HAZARDS
- Landslide susceptibility assessment of the Kraľovany–Liptovský Mikuláš railway case study
- (2009) Martin Bednarik et al. PHYSICS AND CHEMISTRY OF THE EARTH
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)
- (2008) Işık Yilmaz COMPUTERS & GEOSCIENCES
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
- (2008) H.A. Nefeslioglu et al. ENGINEERING GEOLOGY
- Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
- (2008) X. Yao et al. GEOMORPHOLOGY
- An implementation of rock engineering system for ranking the instability potential of natural slopes in Greek territory. An application in Karditsa County
- (2008) D. Rozos et al. Landslides
- Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS
- (2008) Adnan Ozdemir Environmental geology.
- Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand
- (2008) Hyun-Joo Oh et al. Environmental geology.
- GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations
- (2007) Ali Yalcin CATENA
- Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression
- (2007) M.J. García-Rodríguez et al. GEOMORPHOLOGY
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